72 resultados para object orientation processing


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The effects of pulp processing on softwood fiber properties strongly influence the properties of wet and dry paper webs. Pulp strength delivery studies have provided observations that much of the strength potential of long fibered pulp is lost during brown stock fiber line operations where the pulp is merely washed and transferred to the subsequent processing stages. The objective of this work was to study the intrinsic mechanisms which maycause fiber damage in the different unit operations of modern softwood brown stock processing. The work was conducted by studying the effects of industrial machinery on pulp properties with some actions of unit operations simulated in laboratory scale devices under controlled conditions. An optical imaging system was created and used to study the orientation of fibers in the internal flows during pulp fluidization in mixers and the passage of fibers through the screen openings during screening. The qualitative changes in fibers were evaluated with existing and standardized techniques. The results showed that each process stage has its characteristic effects on fiber properties: Pulp washing and mat formation in displacement washers introduced fiber deformations especially if the fibers entering the stage were intact, but it did not decrease the pulp strength properties. However, storage chests and pulp transfer after displacement washers contributed to strength deterioration. Pulp screening proved to be quite gentle, having the potential of slightly evening out fiber deformations from very deformed pulps and vice versa inflicting a marginal increase in the deformation indices if the fibers were previously intact. Pulp mixing in fluidizing industrial mixers did not have detrimental effects on pulp strength and had the potential of slightly evening out the deformations, provided that the intensity of fluidization was high enough to allow fiber orientation with the flow and that the time of mixing was short. The chemical and mechanical actions of oxygen delignification had two distinct effects on pulp properties: chemical treatment clearly reduced pulp strength with and without mechanical treatment, and the mechanical actions of process machinery introduced more conformability to pulp fibers, but did not clearly contribute to a further decrease in pulp strength. The chemical composition of fibers entering the oxygen stage was also found to affect the susceptibility of fibers to damage during oxygen delignification. Fibers with the smallest content of xylan were found to be more prone to irreversibledeformations accompanied with a lower tensile strength of the pulp. Fibers poor in glucomannan exhibited a lower fiber strength while wet after oxygen delignification as compared to the reference pulp. Pulps with the smallest lignin content on the other hand exhibited improved strength properties as compared to the references.

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Monet teollisuuden konenäkö- ja hahmontunnistusongelmat ovat hyvin samantapaisia, jolloin prototyyppisovelluksia suunniteltaessa voitaisiin hyödyntää pitkälti samoja komponentteja. Oliopohjaiset sovelluskehykset tarjoavat erinomaisen tavan nopeuttaa ohjelmistokehitystä uudelleenkäytettävyyttä parantamalla. Näin voidaan sekä mahdollistaa konenäkösovellusten laajempi käyttö että säästää kustannuksissa. Tässä työssä esitellään konenäkösovelluskehys, joka on perusarkkitehtuuriltaan liukuhihnamainen. Ylätason rakenne koostuu sensorista, datankäsittelyoperaatioista, piirreirrottimesta sekä luokittimesta. Itse sovelluskehyksen lisäksi on toteutettu joukko kuvankäsittely- ja hahmontunnistusoperaatioita. Sovelluskehys nopeuttaa selvästi ohjelmointityötä ja helpottaa uusien kuvankäsittelyoperaatioiden lisää mistä.

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Nowadays, the huge part of the most important research is done in the area of interaction of two or more fields of research. They open doors for new ideas and help to find that was not possible to find before, explain simple things, which was missed because of narrow vision. This research investigates the interconnection of strategy study and knowledge management. Well-known researches (e.g. Michael Zack, 2003) point out that organization should align its' knowledge management to strategy to gain success. But this is not well developed area yet. This research contributes to the growing knowledge of knowledge management - strategy alignment. The research tests the relation between strategic orientation of knowledge management and performance of the company. It also investigates the nature of strategy typology influence on strategic orientation of knowledge management. These two points have critical importance for development of this area. Moreover, it has management implication for those practitioners, who cares about sustainable success of their company based on knowledge.

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The ability of the supplier firm to generate and utilise customer-specific knowledge has attracted increasing attention in the academic literature during the last decade. It has been argued the customer knowledge should treated as a strategic asset the same as any other intangible assets. Yet, at the same time it has been shown that the management of customer-specific knowledge is challenging in practice, and that many firms are better at acquiring customer knowledge than at making use of it. This study examines customer knowledge processing in the context of key account management in large industrial firms. This focus was chosen because key accounts are demanding and complex. It is not unusual for a single key account relationship to constitute a complex web of relationships between the supplier and the key account – thus easily leading to the dispersion of customer-specific knowledge in the supplier firm. Although the importance of customer-specific knowledge generation has been widely acknowledged in the literature, surprisingly little attention has been paid to the processes through which firms generate, disseminate and use such knowledge internally for enhancing the relationships with their major, strategically important key account customers. This thesis consists of two parts. The first part comprises a theoretical overview and draws together the main findings of the study, whereas the second part consists of five complementary empirical research papers based on survey data gathered from large industrial firms in Finland. The findings suggest that the management of customer knowledge generated about and form key accounts is a three-dimensional process consisting of acquisition, dissemination and utilization. It could be concluded from the results that customer-specific knowledge is a strategic asset because the supplier’s customer knowledge processing activities have a positive effect on supplier’s key account performance. Moreover, in examining the determinants of each phase separately the study identifies a number of intra-organisational factors that facilitate the process in supplier firms. The main contribution of the thesis lies in linking the concept of customer knowledge processing to the previous literature on key account management. Moreover, given than this literature is mainly conceptual or case-based, a further contribution is to examine its consequences and determinants based on quantitative empirical data.

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Palvelun mallinnus on kehitetty uusien ja jo olemassa olevien palveluiden innovointiin ja kehittämiseen. Sen tarkoituksena on luoda palvelusta visuaalinen kuvaus, eli palvelukartta. Tutkielman tavoitteena on tutkia palvelun mallinnusta apuna ikääntyneiden palveluiden hankinnassa ja päätutkimuskysymyksenä on, miten ikääntyneiden palveluasumista voidaan mallintaa ja voidaanko mallinnuksen avulla verrata palvelua tarjouspyynnössä vaadittuun. Ikääntyneiden palveluista tutkittavaksi on valittu tehostettu palveluasuminen. Tutkimuskohteena on Espoon kaupunki ja sen tehostettua palveluasumista tarjoava palveluntuottaja, hoivakoti Villa Lauriina. Palveluntuottajan toiminnasta luodaan tutkielmassa palvelukartat, joita verrataan Espoon kaupungin palvelukonseptiin. Aineisto tutkielmaan on kerätty haastatteluilla sekä kyselytutkimuksella. Analysoinnin perusteella palvelun mallinnusta ei voi suoraan käyttää apuvälineenä palvelun vertaamisessa tarjouspyyntöön, tosin tuloksia ei voi yleistää, sillä kyselytutkimusta ei toteutettu tarpeeksi laajasti. Palvelun mallinnus on kuitenkin hyvä apuväline asiakas-lähtöisyyden korostamisessa palveluiden kehittämisessä ja hankinnassa.

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Selling is much maligned, often under-valued subject whose inadequate showing in business schools is in inverse proportion to the many job opportunities it offers and the importance of salespeople bringing incomes to companies. The purpose of this research is to increase the understanding of customer-oriented selling and examine the influence of customer-oriented philosophy on selling process, the applicability of selling techniques to this philosophy and the importance of them to salespeople. The empirical section of the study is two-fold. Firstly, the data of qualitative part was collected by conducting five thematic interviews among sales consultants and case company representatives. The findings of the study indicate that customer-oriented selling requires the activity of salespeople. In the customer-oriented personal selling process, salespeople invest time in the preplanning, the need analysis and the benefit demonstration stages. However, the findings propose that salespeople today must also have the basic capabilities for executing the traditional sales process, and the balance between traditional and consultative selling process will change as the duration of the relationship between the salesperson and customer increases. The study also proposes that selling techniques still belong to the customer-oriented selling process, although their roles might be modest. This thesis mapped 75 selling techniques and the quantitative part of the study explored what selling techniques are considered to be important by salespeople in direct selling industry when they make sales with new and existing customers. Response rate of the survey was 69.5%.

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Tässä pro gradu -tutkielmassa käsittelen lähde- ja kohdetekstikeskeisyyttä näytelmäkääntämisessä. Tutkimuskohteina olivat käännösten sanasto, syntaksi, näyttämötekniikka, kielikuvat, sanaleikit, runomitta ja tyyli. Tutkimuksen tarkoituksena oli selvittää, näkyykö teoreettinen painopisteen siirtyminen lähdetekstikeskeisyydestä kohdetekstikeskeisyyteen suomenkielisessä näytelmäkääntämisessä. Oletuksena oli, että siirtyminen näkyy käytetyissä käännösstrategioissa. Tutkimuksen teoriaosuudessa käsitellään ensin lähde- ja kohdetekstikeskeisiä käännösteorioita. Ensin esitellään kaksi lähdetekstikeskeistä teoriaa, jotka ovat Catfordin (1965) muodollinen vastaavuus ja Nidan (1964) dynaaminen ekvivalenssi. Kohdetekstikeskeisistä teorioista käsitellään Touryn (1980) ja Newmarkin (1981) teoreettisia näkemyksiä sekä Reiss ja Vermeerin (1986) esittelemää skopos-teoriaa. Vieraannuttamisen ja kotouttamisen periaatteet esitellään lyhyesti. Teoriaosuudessa käsitellään myös näytelmäkääntämistä, William Shakespearen kieltä ja siihen liittyviä käännösongelmia. Lisäksi esittelen lyhyesti Shakespearen kääntämistä Suomessa ja Julius Caesarin neljä kääntäjää. Tutkimuksen materiaalina oli neljä Shakespearen Julius Caesar –näytelmän suomennosta, joista Paavo Cajanderin käännös on julkaistu vuonna 1883, Eeva-Liisa Mannerin vuonna 1983, Lauri Siparin vuonna 2006 ja Jarkko Laineen vuonna 2007. Analyysissa käännöksiä verrattiin lähdetekstiin ja toisiinsa ja vertailtiin kääntäjien tekemiä käännösratkaisuja. Tulokset olivat oletuksen mukaisia. Lähdetekstikeskeisiä käännösstrategioita oli käytetty uusissa käännöksissä vähemmän kuin vanhemmissa. Kohdetekstikeskeiset strategiat erosivat huomattavasti toisistaan ja uusinta käännöstä voi sanoa adaptaatioksi. Jatkotutkimuksissa tulisi materiaali laajentaa koskemaan muitakin Shakespearen näytelmien suomennoksia. Eri aikakausien käännöksiä tulisi verrata keskenään ja toisiinsa, jotta voitaisiin luotettavasti kuvata muutosta lähde- ja kohdetekstikeskeisten käännösstrategioiden käytössä ja eri aikakausien tyypillisten strategioiden kartoittamiseksi.

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In dentistry, yttrium partially stabilized zirconia (ZrO2) has become one of the most attractive ceramic materials for prosthetic applications. The aim of this series of studies was to evaluate whether certain treatments used in the manufacturing process, such as sintering time, color shading or heat treatment of zirconia affect the material properties. Another aim was to evaluate the load-bearing capacity and marginal fit of manually copy-milled custom-made versus prefabricated commercially available zirconia implant abutments. Mechanical properties such as flexural strength and surface microhardness were determined for green-stage milled and sintered yttrium partially stabilized zirconia after different sintering time, coloring process and heat treatments. Scanning electron microscope (SEM) was used for analyzing the possible changes in surface structure of zirconia material after reduced sintering time, coloring and heat treatments. Possible phase change from the tetragonal to the monoclinic phase was evaluated by X-ray diffraction analysis (XRD). The load-bearing capacity of different implant abutments was measured and the fit between abutment and implant replica was examined with SEM. The results of these studies showed that the shorter sintering time or the thermocycling did not affect the strength or surface microhardness of zirconia. Coloring of zirconia decreased strength compared to un-colored control zirconia, and some of the colored zirconia specimens also showed a decrease in surface microhardness. Coloring also affected the dimensions of zirconia. Significantly decreased shrinkage was found for colored zirconia specimens during sintering. Heat treatment of zirconia did not seem to affect materials’ mechanical properties but when a thin coating of wash and glaze porcelain was fired on the tensile side of the disc the flexural strength decreased significantly. Furthermore, it was found that thermocycling increased the monoclinic phase on the surface of the zirconia. Color shading or heat treatment did not seem to affect phase transformation but small monoclinic peaks were detected on the surface of the heat treated specimens with a thin coating of wash and glaze porcelain on the opposite side. Custom-made zirconia abutments showed comparable load-bearing capacity to the prefabricated commercially available zirconia abutments. However, the fit of the custom-made abutments was less satisfactory than that of the commercially available abutments. These studies suggest that zirconia is a durable material and other treatments than color shading used in the manufacturing process of zirconia bulk material does not affect the material’s strength. The decrease in strength and dimensional changes after color shading needs to be taken into account when fabricating zirconia substructures for fixed dental prostheses. Manually copy-milled custom-made abutments have acceptable load-bearing capacity but the marginal accuracy has to be evaluated carefully.

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This study presents the information required to describe the machine and device resources in the turret punch press environment which are needed for the development of the analysing method for automated production. The description of product and device resources and their interconnectedness is the starting point for method comparison the development of expenses, production planning and the performance of optimisation. The manufacturing method cannot be optimized unless the variables and their interdependence are known. Sheet metal parts in particular may then become remarkably complex, and their automatic manufacture may be difficult or, with some automatic equipment, even impossible if not know manufacturing properties. This thesis consists of three main elements, which constitute the triangulation. In the first phase of triangulation, the manufacture occuring on a turret punch press is examined in order to find the factors that affect the efficiency of production. In the second phase of triangulation, the manufacturability of products on turret punch presses is examined through a set of laboratory tests. The third phase oftriangulation involves an examination of five industry parts. The main key findings of this study are: all possible efficiency in high automation level machining cannot be achieved unless the raw materials used in production and the dependencies of the machine and tools are well known. Machine-specific manufacturability factors for turret punch presses were not taken into account in the industrial case samples. On the grounds of the performed tests and industrial case samples, the designer of a sheet metal product can directly influence the machining time, material loss, energy consumption and the number of tools required on a turret punch press by making decisions in the way presented in the hypothesis of thisstudy. The sheet metal parts to be produced can be optimised to bemanufactured on a turret punch press when the material to be used and the kinds of machine and tool options available are known. This provides in-depth knowledge of the machine and tool properties machine and tool-specifically. None of the optimisation starting points described here is a separate entity; instead, they are all connected to each other.

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Local features are used in many computer vision tasks including visual object categorization, content-based image retrieval and object recognition to mention a few. Local features are points, blobs or regions in images that are extracted using a local feature detector. To make use of extracted local features the localized interest points are described using a local feature descriptor. A descriptor histogram vector is a compact representation of an image and can be used for searching and matching images in databases. In this thesis the performance of local feature detectors and descriptors is evaluated for object class detection task. Features are extracted from image samples belonging to several object classes. Matching features are then searched using random image pairs of a same class. The goal of this thesis is to find out what are the best detector and descriptor methods for such task in terms of detector repeatability and descriptor matching rate.

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The human language-learning ability persists throughout life, indicating considerable flexibility at the cognitive and neural level. This ability spans from expanding the vocabulary in the mother tongue to acquisition of a new language with its lexicon and grammar. The present thesis consists of five studies that tap both of these aspects of adult language learning by using magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) during language processing and language learning tasks. The thesis shows that learning novel phonological word forms, either in the native tongue or when exposed to a foreign phonology, activates the brain in similar ways. The results also show that novel native words readily become integrated in the mental lexicon. Several studies in the thesis highlight the left temporal cortex as an important brain region in learning and accessing phonological forms. Incidental learning of foreign phonological word forms was reflected in functionally distinct temporal lobe areas that, respectively, reflected short-term memory processes and more stable learning that persisted to the next day. In a study where explicitly trained items were tracked for ten months, it was found that enhanced naming-related temporal and frontal activation one week after learning was predictive of good long-term memory. The results suggest that memory maintenance is an active process that depends on mechanisms of reconsolidation, and that these process vary considerably between individuals. The thesis put special emphasis on studying language learning in the context of language production. The neural foundation of language production has been studied considerably less than that of perceptive language, especially on the sentence level. A well-known paradigm in language production studies is picture naming, also used as a clinical tool in neuropsychology. This thesis shows that accessing the meaning and phonological form of a depicted object are subserved by different neural implementations. Moreover, a comparison between action and object naming from identical images indicated that the grammatical class of the retrieved word (verb, noun) is less important than the visual content of the image. In the present thesis, the picture naming was further modified into a novel paradigm in order to probe sentence-level speech production in a newly learned miniature language. Neural activity related to grammatical processing did not differ between the novel language and the mother tongue, but stronger neural activation for the novel language was observed during the planning of the upcoming output, likely related to more demanding lexical retrieval and short-term memory. In sum, the thesis aimed at examining language learning by combining different linguistic domains, such as phonology, semantics, and grammar, in a dynamic description of language processing in the human brain.

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The purpose of this thesis is to investigate how the dimensions of market orientation and entrepreneurial orientation are carried out in small and medium-sized enterprises (SME). In addition, the research aims to answer how these strategic orientations are apparent in SMEs, how the orientations co-vary, and how the dimensions of orientations are carried out in successful SMEs. The qualitative case study was participated by 16 SMEs. The research sample was gathered trough face-to-face interviews, consisting of Likert scale statements and open-ended questions. The main restriction of implementing market and entrepreneurial orientations in SMEs were scarce resources. Thus, the enterprises were required to make trade-offs between the different dimensios of orientations. Risk-aversive enterprises had emphasis on reactive customer orientation whereas, willing to take risks was generally related to proactiveness. Proactive enterprises utilized interfunctional coordination, and innovativeness was supported by value network coordination. The majority of the successful enterprises were growth-oriented, aiming to be technologial leaders in their industries. The successful firms placed similar emphasis on customer and product orientation.

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The large and growing number of digital images is making manual image search laborious. Only a fraction of the images contain metadata that can be used to search for a particular type of image. Thus, the main research question of this thesis is whether it is possible to learn visual object categories directly from images. Computers process images as long lists of pixels that do not have a clear connection to high-level semantics which could be used in the image search. There are various methods introduced in the literature to extract low-level image features and also approaches to connect these low-level features with high-level semantics. One of these approaches is called Bag-of-Features which is studied in the thesis. In the Bag-of-Features approach, the images are described using a visual codebook. The codebook is built from the descriptions of the image patches using clustering. The images are described by matching descriptions of image patches with the visual codebook and computing the number of matches for each code. In this thesis, unsupervised visual object categorisation using the Bag-of-Features approach is studied. The goal is to find groups of similar images, e.g., images that contain an object from the same category. The standard Bag-of-Features approach is improved by using spatial information and visual saliency. It was found that the performance of the visual object categorisation can be improved by using spatial information of local features to verify the matches. However, this process is computationally heavy, and thus, the number of images must be limited in the spatial matching, for example, by using the Bag-of-Features method as in this study. Different approaches for saliency detection are studied and a new method based on the Hessian-Affine local feature detector is proposed. The new method achieves comparable results with current state-of-the-art. The visual object categorisation performance was improved by using foreground segmentation based on saliency information, especially when the background could be considered as clutter.